Method, system and storage medium for automatically determining sample quality in a sample core

Abstract

The application provides a method, system and storage medium for automatically determining sample quality in sample nucleation, which comprises the following steps: opening a test order, printing a barcode, collecting a test sample; being connected with a medical group platform through a bidirectional interface; receiving sample information of the test sample; screening the sample information; automatically auditing the sample information; generating a sample submission application; generating a test barcode; matching the test barcode with the sample information; submitting the test sample; manually and intelligently auditing the test sample; generating a test result report; inquiring whether there is a corresponding test result report; storing the test result report; and printing the test result report. The method, system and storage medium for automatically determining sample quality in sample nucleation solve the problem of most manual identification of samples in the nucleation process, improve the auditing quality, reduce the workload and errors caused by human operation, and increase the speed of correct auditing.

Description

Technical Field

[0001] This invention relates to the field of methods for determining sample quality, and more particularly to a method, system, and storage medium for automatically determining sample quality during sample acceptance. Background Technology

[0002] The standard requirements for receiving / verifying samples are: verification of both quantity and quality. The verification criteria mainly include:

[0003] 1. The number of samples submitted for testing is consistent with the number of samples delivered.

[0004] 2. The number of samples to be collected must match the different testing items requested for the samples;

[0005] 3. No severe hemolysis or lipemia was observed in the sample;

[0006] 4. Is the sample container selected correctly?

[0007] 5. Does the sample have any special markings that require special handling?

[0008] 6. Does the sample match the testing application?

[0009] 7. Is the sample information complete and correct?

[0010] In current laboratories, the acceptance process is generally based on manual judgment, supplemented by a certain amount of information technology, to review and judge the phenomena corresponding to the above 7 points.

[0011] After the samples are collected and transported by logistics, they need to be handed over and verified at the testing laboratory. If any of the following situations occur, the samples will be considered unqualified and need to be returned for recollection:

[0012] 1. Inconsistent sample quantity: Quantity verification and software processing ensure fast and accurate results.

[0013] 2. The sample collection quantity does not meet the testing requirements, and the quantity verification and manual identification and processing are prone to errors and omissions.

[0014] 3. In the event of severe hemolysis or lipemia, availability must be reviewed, and manual identification and processing are required, as human error is common.

[0015] 4. Improper use of tubing type, operational review, manual identification and processing, prone to errors and omissions;

[0016] 5. Improper use of anticoagulants, operational review, manual identification and handling, and easy to make mistakes and omissions;

[0017] 6. If sample information is incomplete, information matching and verification will be conducted using software, which will ensure fast and accurate processing.

[0018] 7. Sample information labeling errors, information matching review, manual identification and processing, prone to errors and omissions;

[0019] 8. The sample and the test application are seriously inconsistent, information matching and review, manual identification and processing, which is prone to errors and omissions;

[0020] 9. For samples with poor quality, usability review and manual identification are difficult to determine;

[0021] 10. Other overlooked conditions (such as temperature, TAT, etc.) are difficult to define due to availability audits, manual identification and processing.

[0022] Under the current software informatization process:

[0023] When samples 1 and 6 occur, the software function can be used to determine this.

[0024] When samples 2, 3, 4, 5, 7, and 8 occur, at least some or all of the judgment still needs to be made manually.

[0025] Regarding the verification of sample availability: 3 can only rely on manual labor, 9 is also difficult to define by relying on human labor, and due to the specific nature of the long sample circulation time and the number of people and links involved, situations such as temperature and humidity and TAT time exceeding the time limit are directly classified as 10.

[0026] visible:

[0027] Given the current level of information technology development, electronic sample review allows for the assessment of items 1 and 6 with the assistance of a program.

[0028] 1. If the number of samples submitted for testing matches the number of samples received, the handling method is as follows:

[0029] a. After each sample is electronically received, the program processes the corresponding verification and displays the record information of any missing samples.

[0030] b. Samples that are sent in excess or for which no sample delivery information has been received cannot be verified by the software.

[0031] 2. Availability audit, the handling method is as follows:

[0032] a) Specimens delivered via logistics ignore the time limit from sample collection to delivery;

[0033] b. Directly ignore environmental factors during sample transportation, such as temperature, humidity, lighting, and hygiene.

[0034] 3. Other audit points are either ignored to save audit manpower and time and speed up sample circulation. The cost of this is that the non-compliant samples need to be separated in the subsequent corresponding links, which wastes manpower, equipment capacity and reagents. Such problematic samples increase the problem rate of test results, which may lead to the issuance of adverse reports and may ultimately cause medical disputes.

[0035] Another cautious approach is to manually identify each sample one by one. This leads to a sharp decline in the efficiency and quality of the review process, resulting in a backlog of samples at the verification stage. This causes sample transporters to queue at the verification point, while subsequent stages are also waiting for samples, severely impacting the laboratory's testing capacity and throughput.

[0036] Currently, only samples that pass the 1-a acceptance process proceed to the next stage of sample testing. Unqualified samples are rejected with a written reason provided, and the samples and process information are returned to the submitting party. The other three criteria are ignored without review and are released. Summary of the Invention

[0037] To address the shortcomings of the existing technologies, this invention provides a method, system, and storage medium for automatically determining sample quality during sample acceptance. This solves most of the problems associated with manual identification during sample acceptance, improves review quality, reduces workload and errors caused by human error, increases the speed of accurate review, optimizes the overall laboratory capacity, and prevents subsequent processes from experiencing increased workload and error rates due to sample acceptance issues. It also saves manpower and equipment capacity, reduces unnecessary reagent consumption and the possibility of detecting problematic results, and improves the speed and quality of laboratory test reports.

[0038] To achieve the above objectives, the present invention provides a method for automatically determining sample quality during sample acceptance, comprising the following steps:

[0039] S1: Print a barcode on a test order through the first laboratory information management system and collect test samples;

[0040] S2: The first laboratory information management system communicates with a medical consortium platform through a bidirectional interface;

[0041] S3: The medical consortium platform receives the submitted sample information of the test sample from the first laboratory information management system;

[0042] S4: The medical consortium platform filters the information of the submitted samples;

[0043] S5: The medical consortium platform records the screened submitted sample information and automatically reviews various non-compliance situations of the submitted sample information; when the automatic review result is a non-compliance situation and fails, it queries the first laboratory information management system through the bidirectional interface to inquire whether to supplement information or recall, or inquire whether to resample or recall; when the automatic review is passed, the medical consortium platform submits the submitted sample information to a second laboratory information management system and records the submitted sample information into a database;

[0044] S6: The second laboratory information management system generates a test submission request;

[0045] S7: The second laboratory information management system generates an inspection barcode based on the submitted inspection application;

[0046] S8: The medical consortium platform receives the test barcode and matches the test barcode with the information of the submitted sample, and records the test barcode;

[0047] S9: The test sample is sent for testing, and the medical consortium platform records the delivery logistics information, transfer information, and environmental information.

[0048] S10: The non-conformance review of the test sample is reviewed manually and intelligently. When the review result does not fall under the non-conformance review situation, the test sample is accepted to enter the laboratory for testing.

[0049] S11: The second laboratory information management system generates a test result report;

[0050] S12: The medical consortium platform checks whether there is a corresponding test result report based on the test barcode. If there is no report, the process ends. If there is a report, the test result report is saved and immediately pushed to the first laboratory information management system when there is a critical value.

[0051] S13: The first laboratory information management system writes the test result report into a terminal database;

[0052] S14: Print the test result report through the first laboratory information management system.

[0053] Preferably, the submitted sample information includes: specimen information, application information, collection information, environmental information, transfer information, and logistics information.

[0054] Preferably, the non-compliance audit situations include:

[0055] The following conditions may be overlooked: discrepancy between the number of samples submitted and the number delivered; discrepancy between the sample collection volume and the testing requirements; severe hemolysis or lipemia; improper use of tubing; improper use of anticoagulants; incomplete sample information; incorrect sample information labeling; serious discrepancy between the sample and the testing application; poor sample quality; and other overlooked conditions.

[0056] Preferably, when the automatic review result is that the sample information is incomplete, the sample information is incorrectly marked, or the sample is seriously inconsistent with the test application, the medical consortium platform queries the first laboratory information management system through the bidirectional interface and returns to step S5 after supplementing the submitted sample information;

[0057] When the automatic review result indicates that the number of samples submitted for testing is inconsistent with the number delivered, the medical consortium platform asks the first laboratory information management system whether to supplement information or recall. If the first laboratory information management system supplements the information of the submitted samples, it returns to step S5. If the first laboratory information management system responds to the end of the recall process, it will return to step S5.

[0058] When the automatic review result indicates that the sample collection volume does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulants, or the sample is seriously inconsistent with the test application, the medical consortium platform queries the first laboratory information management system to decide whether to resample or recall. If resampling is selected, the process returns to step S1; if recall is selected, the process ends.

[0059] Preferably, in step S10, when the review result is that the number of samples submitted for testing is inconsistent with the number delivered, the sample collection volume does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulant, unclear sample information, incorrect sample information labeling, or the sample is seriously inconsistent with the test application, a platform task is triggered, and the medical consortium platform queries the first laboratory information management system and returns to step S4;

[0060] When the audit result falls under the category of poor sample quality or other overlooked conditions, a platform task is triggered, and the medical consortium platform queries the first laboratory information management system and proceeds to step S11.

[0061] The present invention provides a system for automatically determining sample quality during sample acceptance, comprising a processor and a storage medium;

[0062] The storage medium is used to store instructions;

[0063] The processor is configured to operate according to the instructions to execute the steps of the method of the present invention.

[0064] The present invention provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method described in the present invention.

[0065] Because the present invention adopts the above technical solution, it has the following beneficial effects:

[0066] This invention enables intelligent processing of previously ignored or unprocessable acceptance conditions, improves the conditions for review in the sample acceptance stage, and enables intelligent automatic operation of additional judgment conditions. The speed and efficiency of sample acceptance have been greatly improved, and the requirements for acceptance personnel have been reduced. Attached Figure Description

[0067] Figure 1 This is a flowchart of a method for automatically determining sample quality during sample acceptance, according to an embodiment of the present invention. Detailed Implementation

[0068] The following is based on the attached diagram. Figure 1 The present invention provides preferred embodiments and describes them in detail to enable a better understanding of the functions and features of the present invention.

[0069] Please see Figure 1 An embodiment of the present invention provides a method for automatically determining sample quality during sample acceptance, comprising the following steps:

[0070] S1: Print a barcode on a test order through the first laboratory information management system and collect test samples;

[0071] S2: The First Laboratory Information Management System communicates with a medical consortium platform through a two-way interface;

[0072] S3: The medical consortium platform receives the submitted sample information of the test sample from the first laboratory information management system;

[0073] S4: The medical consortium platform filters the information of the submitted samples;

[0074] S5: The medical consortium platform records the information of the screened submitted samples and automatically reviews various non-compliant review situations of the submitted sample information; when the automatic review result is a non-compliant review situation and fails, it queries the first laboratory information management system through a two-way interface to inquire whether to supplement information or recall, or inquire whether to resample or recall; when the automatic review is passed, the medical consortium platform submits the submitted sample information to the second laboratory information management system and records the submitted sample information into a database;

[0075] S6: The Second Laboratory Information Management System generates a test submission request;

[0076] S7: The Second Laboratory Information Management System generates an inspection barcode based on the submission request;

[0077] S8: The medical consortium platform receives the test barcode, matches the test barcode with the information of the submitted sample, and records the test barcode;

[0078] S9: When test samples are sent for testing, the medical consortium platform records the logistics information, transfer information, and environmental information of the samples.

[0079] S10: The non-compliance of the test samples is reviewed by a combination of manual and intelligent methods. When the review result does not fall under the category of non-compliance, the test sample is accepted and enters the laboratory for testing.

[0080] S11: The Second Laboratory Information Management System generates a test result report;

[0081] S12: The medical consortium platform checks whether there is a corresponding test result report based on the test barcode. If there is no report, the process ends. If there is a report, the test result report is saved and immediately pushed to the first laboratory information management system when there is a critical value.

[0082] S13: The first laboratory information management system writes the test result report into a terminal database;

[0083] S14: Print the test result report through the First Laboratory Information Management System.

[0084] Preferably, the information of the submitted sample includes: specimen information, application information, collection information, environmental information, transfer information, and logistics information.

[0085] Preferably, non-compliant audit situations include:

[0086] The following conditions may be overlooked: discrepancy between the number of samples submitted and the number delivered; discrepancy between the sample collection volume and the testing requirements; severe hemolysis or lipemia; improper use of tubing; improper use of anticoagulants; incomplete sample information; incorrect sample information labeling; serious discrepancy between the sample and the testing application; poor sample quality; and other overlooked conditions.

[0087] Preferably, when the automatic review result is that the sample information is incomplete, the sample information is incorrectly marked, or the sample is seriously inconsistent with the test application, the medical consortium platform queries the first laboratory information management system through a two-way interface and returns to step S5 after supplementing the submitted sample information;

[0088] When the automatic review result indicates a discrepancy between the number of samples submitted and the number delivered, the medical consortium platform asks the first laboratory information management system whether to supplement information or recall the sample. If the first laboratory information management system provides supplementary information, it returns to step S5 after supplementing the submitted sample information. If the first laboratory information management system provides feedback, the recall process ends.

[0089] When the automatic review results indicate that the sample collection volume does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulants, or the sample is seriously inconsistent with the test application, the medical consortium platform asks the first laboratory information management system whether to resample or recall. If resampling is performed, the process returns to step S1; if recall is performed, the process ends.

[0090] Preferably, in step S10, when the review result is that the number of samples submitted for testing is inconsistent with the number delivered, the sample collection volume does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulant, unclear sample information, incorrect sample information labeling, or the sample is seriously inconsistent with the test application, the platform task is triggered, and the medical consortium platform queries the first laboratory information management system and returns to step S4;

[0091] When the review results indicate poor sample quality or other overlooked conditions, a platform task is triggered, and the medical consortium platform queries the first laboratory information management system and proceeds to step S11.

[0092] A system for automatically determining sample quality during sample acceptance according to an embodiment of the present invention includes a processor and a storage medium;

[0093] Storage media are used to store instructions;

[0094] The processor is used to perform operations according to instructions to execute the steps of the method of the present invention.

[0095] An embodiment of the present invention provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the method of the present invention.

[0096] The technical problem to be solved by this invention is as follows:

[0097] This invention addresses the regional testing platform model, enabling bidirectional data flow to acquire sample application and collection information, as well as sample operation information. Samples are transported via logistics, and real-time logistics operation information, sample temperature and humidity data, etc., are obtained from an external logistics interface. The invention provides a technical solution for sample review. Given the current level of information technology development, electronic sample review can utilize the regional testing platform to review the following sample conditions:

[0098] 1. Optimize sample quantity review. For passive information samples that were originally unprocessable, utilize the unique two-way data flow communication mode of the regional inspection platform combined with the application information reissue / reissue mode to realize a fully automated information processing process for the acceptance / rejection of passive information samples.

[0099] 2. To address the issue of sample availability verification regarding temperature, humidity, and TAT time between sample collection and storage at the regional testing platform and delivery for testing, thereby ensuring that the basic characteristics of the samples meet the testing requirements before they are delivered to the laboratory, and improving the quality of sample testing data from the regional testing platform.

[0100] 3. Information matching and operation review are simplified or prompted to highlight the reviewers' focus points through software.

[0101] The technical problems to be solved in the design scheme are as follows:

[0102] a. It is necessary to establish processes and mechanisms to address situations where information is missing and verification is impossible under the regional inspection platform model, including the following two situations:

[0103] i. Excess samples submitted during testing

[0104] ii. Samples cannot be verified through the software if no sample submission information has been received.

[0105] b. Improve the communication mode at the verification end. Instead of a one-way decision on whether to accept the transmitted information and samples, a two-way interactive information operation process needs to be established to solve this problem.

[0106] c. In the regional testing platform mode, record information such as the status of each sample, operation time, operator, operation performed, corresponding IP address, and execution location, including but not limited to:

[0107] i. Sampling application

[0108] ii. Application review

[0109] iii. Review and approval

[0110] iv. Generate barcodes

[0111] v. Barcode printing

[0112] vi. Sample collection

[0113] vii. Sampling Confirmation

[0114] viii. Sample Storage

[0115] ix. Sample submission

[0116] x. Insulated box

[0117] xi. Sample logistics

[0118] XII Samples Delivered

[0119] xiii. Sample verification

[0120] d. Records of information such as delivery routes need to be uploaded in real time and stored in a consolidated manner through a logistics interface;

[0121] e. The regional inspection platform needs to establish a customizable server-side program for real-time monitoring and calculation of time consumption. It should be able to effectively monitor any two status points, calculate and trigger preset warning and alarm times in real time, and push the corresponding data terminal of the relevant regional inspection platform when it is about to accept the batch of samples, and trigger a prompt when the corresponding sample is encountered during acceptance.

[0122] f. Time conditions can be set to include the steps of sending for inspection and verification.

[0123] g. The regional inspection platform needs to collect and upload information on all samples collected by the platform, including the sample storage location, corresponding refrigerator or insulated box, logistics vehicle number, corresponding route, transportation time, and corresponding temperature and humidity information at all stages from collection to verification.

[0124] h. The regional inspection platform needs to establish a customizable server-side real-time monitoring and calculation program to monitor and determine the warning and alarm times for all continuous states from collection to acceptance, and push the corresponding data terminal of the relevant regional inspection platform when it is about to accept the batch of samples. Information on out-of-control samples after submission will trigger a prompt when the corresponding sample is encountered during acceptance.

[0125] i. Temperature and humidity conditions are added to the testing and acceptance process.

[0126] j. The regional testing platform should be able to obtain or query the interface of the testing applicant's HIS / LIS software, and use it as a benchmark to automatically match and verify the information of the received samples.

[0127] k. The regional inspection platform must be able to identify the tube type and cap color of the received samples.

[0128] l. It is necessary to be able to identify samples with no anticoagulant added or with insufficient anticoagulant.

[0129] The solution is as follows:

[0130] 1. First, address the technical solutions that are either unenforceable or ignored in the current situation.

[0131] a. Samples that were sent in excess or for which the sample delivery information was not received and therefore could not be verified through the software.

[0132] i. Two-way information flow mechanism scheme

[0133] (1) Adopt a proactive push inquiry mechanism at the collection point. The collection personnel only need to press Enter to confirm the inquiry or cancel the inquiry.

[0134] (2) For confirmed inquiries, the barcode number of the sample will be directly fed back to the submitting party through the regional testing platform;

[0135] (3) How to handle point-to-point real-time inquiries: sample recall or resending information;

[0136] (4) For samples that were missed during the submission process, the submitting party can complete the submission process again.

[0137] (5) If the submitting party cannot accept a sample that has been processed for testing, it can submit it for testing again.

[0138] (6) For samples that are mistakenly submitted, the submitting party shall carry out a recall.

[0139] (7) The operation type of the submitting party will be returned to the receiving party, the sample will be recalled, and a prompt will be given; after the sample is received, the corresponding barcode will be automatically used to perform the receiving operation, and the rejected sample will be automatically filled with the reason for rejection and fed back to the submitting party.

[0140] (8) For samples with missing or unclear information, you can enter the database with the corresponding access permissions to query or use the push mechanism to obtain information through query and correct the sample information.

[0141] b. Samples submitted for testing through the regional testing platform:

[0142] i. Obtain all operation time, operator, operation performed, corresponding IP, execution location, and delivery logistics route information.

[0143] ii. All information and data are uploaded to the regional inspection platform's server backend in real time via the network;

[0144] iii. A customizable TAT (Time Between Acquisition and Acquisition) monitoring program is established in the backend of the regional testing platform, which can calculate and monitor the time between any two sample states;

[0145] iv. The regional inspection platform server backend will issue electronic warnings or alarms in real time according to the preset upper and lower limits and the TAT time.

[0146] v. Submission time + estimated travel time according to the selected route. Samples that exceed the time limit will be rejected for testing and must be collected again before they can be submitted for testing.

[0147] vi. Samples that exceed the TAT timeout during transit or during acceptance will be automatically rejected and the reason for rejection, TAT timeout, will be automatically filled in.

[0148] c. Samples collected under the control of the regional testing platform:

[0149] i. All storage conditions and other information after sample collection can be uploaded to the backend in real time via the network, including:

[0150] (1) Room temperature

[0151] (2) Indoor humidity

[0152] (3) Store refrigerator information

[0153] (4) Refrigerator humidity

[0154] (5) Refrigerator temperature

[0155] (6) Information on storing insulated boxes

[0156] (7) Humidity of the insulated box

[0157] (8) Temperature of the incubator

[0158] (9) Delivery and logistics information

[0159] (10) Transportation environment information

[0160] (11) Delivery time information

[0161] ii. Based on the different requirements of different tests for different samples, if a sample with temperature or humidity control requirements exceeds the preset upper or lower limit, an early warning or alarm will be issued immediately.

[0162] iii. If an early warning occurs, notify the operators at the corresponding stage and request them to intervene manually in a timely manner.

[0163] iv. If the alarm value is exceeded, the sample is directly determined to be undetectable. Samples that have not been submitted for testing are prohibited from being submitted for testing. Samples that have been delivered and are being accepted are directly and intelligently determined to be rejected, and the reason for rejection is automatically filled in: sample temperature / humidity out of control.

[0164] 2. Use barcodes uniformly generated by the platform. During barcode generation:

[0165] a. The sample documents have already been classified.

[0166] b. Mark the relevant characteristics of the samples

[0167] c. Provide guidance on the type of tubular cap used for the sample.

[0168] d. Provide guidance on sample collection volume and testing requirements.

[0169] e. Furthermore, points i-iii above will be printed on the barcode label to clearly indicate the sample, facilitating verification during sample acceptance later.

[0170] 3. Using sample collection photography technology, a photo of the sample is taken simultaneously with the collection process. By reading the photo, information such as tube type, tube cap color, severity of hemolysis or lipemia, blood clotting level, and blood volume collected is identified to determine if the requirements are met. The interface also displays relevant information about the collected sample, document type, document alert colors, and special requirements markings for label verification.

[0171] An embodiment of the present invention provides a method for automatically determining sample quality during sample acceptance, the effects of which are shown in Table 1:

[0172] Table 1. Sample Quality Audit Results

[0173]

[0174] The present invention has been described in detail above with reference to the accompanying drawings and embodiments. Those skilled in the art can make various modifications to the present invention based on the above description. Therefore, certain details in the embodiments should not be construed as limiting the present invention, and the scope of protection of the present invention shall be defined by the appended claims.

Claims

1. A method for automatically determining sample quality during sample acceptance, comprising the following steps: S1: Print a barcode on a test order through the first laboratory information management system and collect test samples; S2: The first laboratory information management system communicates with a medical consortium platform through a bidirectional interface; S3: The medical consortium platform receives the submitted sample information of the test sample from the first laboratory information management system; S4: The medical consortium platform filters the information of the submitted samples; S5: The medical consortium platform records the screened submitted sample information and automatically reviews various non-compliance situations of the submitted sample information; when the automatic review result is a non-compliance situation and fails, it queries the first laboratory information management system through the bidirectional interface to inquire whether to supplement information or recall, or inquire whether to resample or recall; when the automatic review is passed, the medical consortium platform submits the submitted sample information to a second laboratory information management system and records the submitted sample information into a database; S6: The second laboratory information management system generates a test submission request; S7: The second laboratory information management system generates an inspection barcode based on the submitted inspection application; S8: The medical consortium platform receives the test barcode and matches the test barcode with the information of the submitted sample, and records the test barcode; S9: The test sample is sent for testing, and the medical consortium platform records the delivery logistics information, transfer information, and environmental information. S10: The non-conformance review of the test sample is reviewed manually and intelligently. When the review result does not fall under the non-conformance review situation, the test sample is accepted to enter the laboratory for testing. S11: The second laboratory information management system generates a test result report; S12: The medical consortium platform checks whether there is a corresponding test result report based on the test barcode. If there is no report, the process ends. If there is a report, the test result report is saved and immediately pushed to the first laboratory information management system when there is a critical value. S13: The first laboratory information management system writes the test result report into a terminal database; S14: Print the test result report through the first laboratory information management system.

2. The method for automatically determining sample quality during sample acceptance according to claim 1, characterized in that, The submitted sample information includes: specimen information, application information, collection information, environmental information, transfer information, and logistics information.

3. The method for automatically determining sample quality during sample acceptance according to claim 2, characterized in that, The non-compliant audit situations include: The following conditions may be overlooked: discrepancy between the number of samples submitted and the number delivered; discrepancy between the sample collection volume and the testing requirements; severe hemolysis or lipemia; improper use of tubing; improper use of anticoagulants; incomplete sample information; incorrect sample information labeling; serious discrepancy between the sample and the testing application; poor sample quality; and other overlooked conditions.

4. The method for automatically determining sample quality during sample acceptance according to claim 3, characterized in that, When the automatic review result indicates that the sample information is incomplete, the sample information is incorrectly marked, or the sample is seriously inconsistent with the test application, the medical consortium platform queries the first laboratory information management system through the bidirectional interface and returns to step S5 after supplementing the submitted sample information. When the automatic review result indicates that the number of samples submitted for testing is inconsistent with the number delivered, the medical consortium platform asks the first laboratory information management system whether to supplement information or recall. If the first laboratory information management system supplements the information of the submitted samples, it returns to step S5. If the first laboratory information management system responds to the end of the recall process, it will return to step S5. When the automatic review result indicates that the sample collection volume does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulants, or the sample is seriously inconsistent with the test application, the medical consortium platform queries the first laboratory information management system to decide whether to resample or recall. If resampling is selected, the process returns to step S1; if recall is selected, the process ends.

5. The method for automatically determining sample quality during sample acceptance according to claim 4, characterized in that, In step S10, when the review result is inconsistent with the number of samples submitted for testing, the number of samples collected does not meet the testing requirements, severe hemolysis or lipemia occurs, improper use of tubing, improper use of anticoagulants, unclear sample information, incorrect labeling of sample information, or serious discrepancy between the sample and the test application, a platform task is triggered, and the medical consortium platform queries the first laboratory information management system and returns to step S4. When the audit result falls under the category of poor sample quality or other overlooked conditions, a platform task is triggered, and the medical consortium platform queries the first laboratory information management system and proceeds to step S11.

6. A system for automatically determining sample quality during sample acceptance, characterized in that, Including processor and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1 to 5.

7. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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